Explore expert tips and strategies for tackling Plaid interview questions—ideal guidance for aspiring candidates, offering insights, and more.

Plaid Interview Questions + Guide in 2025

Plaid Interview Guides

<p>Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.</p>

<p>What factors could have biased this result, and what would you look into?</p>


<p>What could potentially bias the average boarding time in favor of an airline that only flies domestically?</p>

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

Statistics

<p>Let’s say you work for a social media company that has just done a launch in a new city. Looking at weekly metrics, you see a slow decrease in the average number of comments per user from January to March in this city.</p>

<p>The company has been consistently growing new users in the city from January to March.</p>

<p>What are some reasons why the average number of comments per user would be decreasing and what metrics would you look into?</p>


<p>What metric could be used to measure if active users are still engaging on the platform despite an overall decrease in the average number of comments per user?</p>

What metric could be used to measure if active users are still engaging on the platform despite an overall decrease in the average number of comments per user?

Decreasing Comments

How would you investigate a decline in the average number of comments per user?

Product Sense & Metrics

<p>Let’s say that your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM checks the results and finds a .04 p-value.</p>

<p>How would you assess the validity of the result?</p>


Experiment Validity

A/B Testing

Plaid Interview Questions

Plaid Salaries by Position

<h3>Job Description</h3><div>Job Description<div><div>We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.</div><div><br /></div><div>Plaid’s Product team builds the network that powers the future of financial services. Our mission is to unlock financial freedom for everyone through open finance. Product Managers at Plaid are curious, customer-obsessed, and move fast to deliver value. They take ownership, sweat the details, and make sound decisions with imperfect information.</div><div><br /></div><div>As a PM on our Fraud team, you’ll build trusted systems that detect and prevent fraud across our network. You’ll protect users and customers from bad actors while helping good users onboard with confidence. Partnering with engineering, data science, and go-to-market, you’ll define problems, ship scalable solutions, and make Plaid’s platform safer and more resilient.</div><div><br /></div><div>This role is for an early-career PM who wants to learn fast, build impactful products, and collaborate across teams to protect the financial ecosystem.</div>Responsibilities<ul><li>Own a product surface: define problems, write requirements, and drive execution.</li><li>Contribute to the roadmap using customer feedback and data insights.</li><li>Build with excellence alongside Engineering and Data Science.</li><li>Measure impact and iterate to improve detection accuracy and reliability.</li><li>Communicate clearly, align stakeholders, and document tradeoffs.</li><li>Take initiative, simplify complexity, and move fast in ambiguity.</li><li>Seek feedback, stay humble, and help raise the bar.</li></ul>Qualifications<ul><li>1–4 years in a product role (PM, APM, startup operator, founder, or product analyst)</li><li>Proven experience launching products end to end</li><li>Strong product and analytical thinking; able to turn insights into features</li><li>Skilled collaborator with Engineering and Data Science</li><li>Clear communicator who simplifies complex ideas</li><li>Comfortable in fast-moving, ambiguous environments</li><li>Passionate about technology, data, and protecting users from fraud</li><li>[Nice to Have] Experience in fraud, risk, or security products</li><li>[Nice to Have] Familiarity with ML systems, APIs, or data platforms</li><li>[Nice to Have] Basic data and design fluency (SQL, dashboards, Figma, Miro)</li></ul><div>The target base salary for this position ranges from $163,200/year to $223,200/year in Zone 1. The target base salary will vary based on the job's location. </div><div><br /></div><div>Our geographic zones are as follows:</div><div>Zone 1 - New York City and San Francisco Bay Area </div><div>Zone 2 - Los Angeles, Seattle, Washington D.C.</div><div>Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San Diego</div><div>Zone 4 - Raleigh-Durham and all other US cities</div><div><br /></div><div>Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.</div><div>Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!</div><div><br /></div><div>Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at <span class="long-word">accommodations@plaid.com.</span></div><div><br /></div><div>Please review our Candidate Privacy Notice here.</div></div></div>

<div><h2>Credit Team Lead</h2><p>We believe that the way people interact with their finances will drastically improve in the next few years. We're dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid's network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.</p><p>The Credit team is building the future of lending by making cash flow data as ubiquitous and trusted as traditional credit data. Our mission is to expand access to more affordable credit by empowering lenders with real-time financial data that improves risk assessment and decision-making at scale. We own the expansion of distribution channels for our Credit products by leading the development of solutions and integrations that unlock new customer segments and use cases across the credit ecosystem. Our ecosystem strategy continues to strengthen our market position through partnerships with major players. We bring deep expertise across lending sub-sectors to understand market structure, core customer needs, and the most effective channels to reach each segment. By combining strong technical execution with market insight, we aim to grow overall adoption of cash flow data and meaningfully expand its role in modern credit decisioning.</p><h3>Responsibilities</h3><p>You will lead a team of 7 engineers, ranging from mid-level to Staff, developing them through clear goal setting, coaching, and feedback.</p><p>You'll collaborate with cross-functional partners to identify high-leverage opportunities, shape the roadmap, and dive deep into technical design and execution details to ensure consistent delivery of high-impact business outcomes.</p><p>You'll uphold a high bar for technical quality and delivery velocity, leading by example.</p><h3>Qualifications</h3><p>8+ years of industry experience, that includes time as a Staff-level engineer before transitioning into management.</p><p>1+ years of engineering management experience Deep experience designing scalable, reliable architectures that support real-world products at scale.</p><p>Track record of building and growing high performing engineering teams (either as an engineer or a manager).</p><p>Prior experience working on Partnerships.</p><p>Bonus points if you have prior Fintech and/or Credit experience</p><p>$214,800 - $366,000 a year</p><p>Target base salary for this role is between $214,800 and $366,000 per year. Additional compensation in the form of equity and/or commission is dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.</p><p>Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!</p><p>Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com.</p></div>

<h3>Job Description</h3><div>Job Description<div><div>We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.</div><div><br /></div><div>The Network Value Data Science team is helping Plaid build an industry leading fintech consumer network by increasing access to, authorization for, and usability of Plaid’s User’s financial footprints. We embed within product teams to support OKRs and help execute on product roadmaps. We translate ambiguous product questions into tractable analysis, serve as analytical thought partners throughout the org, identify opportunities to build better products, and champion a data-first decision making approach everywhere we go.</div><div><br /></div><div>You’ll be a Data Scientist supporting Network Enablement Access (NEA). In this role, you’ll help build an industry-leading fintech consumer network by expanding access to, authorization for, and usability of Plaid users’ financial footprints. You’ll partner closely with embedded teams to support product goals and roadmaps, ensuring Plaid continues to deliver trusted, innovative, and scalable solutions that empower consumers to connect and use their financial data with confidence..</div>Responsibilities<ul><li>Perform ad-hoc and strategic analyses to uncover opportunities for improved business outcomes and translate complex questions into actionable analytics projects.</li><li>Design and maintain scalable data models and dashboards that increase visibility into core systems and drive operational excellence.</li><li>Build and iterate on machine learning prototypes to power insight-driven products and unlock new sources of customer and business value.</li><li>Define and track OKRs that quantify progress toward key business goals, ensuring alignment and accountability across teams.</li><li>Design and analyze experiments to guide product decisions and optimize feature launches.</li><li>Champion a data-first culture by promoting analytical rigor and evidence-based decision-making across the organization.</li></ul>Qualifications<ul><li>2+ years of experience as a Data Scientist or in a related analytics or data-focused role </li><li>Strong track record of turning complex data into strategic insights and measurable business impact</li><li>Proven ability to use experimentation, advanced analytics, and data storytelling to uncover opportunities that drive key product and business outcomes</li><li>Strong technical foundation in SQL and Python for large-scale analysis, data modeling, and ML prototyping</li><li>Experience developing and maintaining data pipelines and metrics frameworks using tools such as Airflow and dbt</li><li>Background working with complex backend systems, ensuring data integrity, scalability, and operational reliability across platforms</li><li>Skilled at partnering cross-functionally with product, engineering, and business teams to influence prioritization and strategy through clear, data-driven communication</li></ul><div>The target base salary for this position ranges from $162,000/year to $222,000/year in Zone 1. The target base salary will vary based on the job's location. </div><div><br /></div><div>Our geographic zones are as follows:</div><div>Zone 1 - New York City and San Francisco Bay Area</div><div>Zone 2 - Los Angeles, Seattle, Washington D.C.</div><div>Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San Diego</div><div>Zone 4 - Raleigh-Durham and all other US cities</div><div><br /></div><div>Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.</div><div>Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!</div><div><br /></div><div>Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at <span class="long-word">accommodations@plaid.com.</span></div><div><br /></div><div>Please review our Candidate Privacy Notice here.</div></div></div>

<h3>Job Description</h3><div>Job Description<div><div>We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.</div><div><br /></div><div>Bank payments is the top way that money is moved in the US, with over $86 trillion moved over ACH in 2024. Many of these transactions are subject to risk from various sources, including liquidity, fraud, and abuse, which leads to losses and bad experiences for businesses and consumers alike.</div><div><br /></div><div>Plaid’s Payment Risk team is building the future of bank payment risk tools and solutions, with the current version of our products already in heavy use by many of the largest names in fintech and beyond. We use proprietary AI and ML solutions to offer intelligent insights and decisions that save our customers billions of dollars, and are heavily investing in improving the power and reach of these solutions.</div><div><br /></div><div>While this team directly owns customer-facing APIs, we are also responsible for integrating these solutions into Plaid’s own money movement products. We build across the stack, including data & ML infrastructure, distributed backend systems, APIs and customer-facing tooling & insights.</div><div><br /></div><div>In this role, you will lead a team of engineers responsible for building and maintaining the infrastructure and systems that power both the offline and online components of the Signal Risk Platform. This role involves close partnership with the ML and data science team developing the AI and ML models that generate the transaction risk scores for customers, as well as collaboration with product counterparts to define the strategy, vision, and concrete roadmaps for both areas. A key part of your work will be to design and build APIs and Dashboard experiences used by thousands of Plaid customers, and to partner with the engineering team on technical planning and execution, ensuring the platform maintains high reliability (many 9's) and performs up to customer expectations for critical money movement flows.</div>Responsibilities<ul><li>Set and execute on technical strategy across systems, data, and ML infrastructure.</li><li>Set and maintain a high bar for quality and velocity for your team, leading by example and getting in the weeds of what your team is building.</li><li>Set and hit ambitious goals that represent delivering value to our customers and building robust foundations.</li><li>Hire, mentor and grow engineers across a range of seniority levels.</li><li>Run team process, including micro and macro-execution and collaboration across functions & teams.</li></ul>Requirements<ul><li>2+ years of engineering management experience with significant experience as a software engineer.</li><li>Experience owning a production product and working with a product manager and/or business partners to drive business impact.</li><li>Deep experience with distributed architecture and systems.</li><li>Track record of building and growing high performing engineering teams.</li><li>Experience working with machine learning-based technology and/or products, including knowledge of ML & data data infrastructure.</li></ul><div>Target base salary for this role is between $214,800 and $366,000 per year. Additional compensation in the form of equity and/or commission is dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.</div><div>Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!</div><div><br /></div><div>Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at <span class="long-word">accommodations@plaid.com.</span></div><div><br /></div><div>Please review our Candidate Privacy Notice here.</div></div></div>

<h3>Job Description</h3><div>Job Description<div><div>We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.</div><div><br /></div><div>The Credit team is building the future of lending by making cash flow data as ubiquitous and trusted as traditional credit data. Our mission is to expand access to more affordable credit by empowering lenders with real-time financial data that improves risk assessment and decision-making at scale. We own the expansion of distribution channels for our Credit products by leading the development of solutions and integrations that unlock new customer segments and use cases across the credit ecosystem. Our ecosystem strategy continues to strengthen our market position through partnerships with major players. We bring deep expertise across lending sub-sectors to understand market structure, core customer needs, and the most effective channels to reach each segment. By combining strong technical execution with market insight, we aim to grow overall adoption of cash flow data and meaningfully expand its role in modern credit decisioning.</div>Responsibilities<ul><li>You will lead a team of 7 engineers, ranging from mid-level to Staff, developing them through clear goal setting, coaching, and feedback.</li><li>You’ll collaborate with cross-functional partners to identify high-leverage opportunities, shape the roadmap, and dive deep into technical design and execution details to ensure consistent delivery of high-impact business outcomes.</li><li>You’ll uphold a high bar for technical quality and delivery velocity, leading by example.</li></ul>Qualifications<ul><li>8+ years of industry experience, that includes time as a Staff-level engineer before transitioning into management.</li><li>1+ years of engineering management experience Deep experience designing scalable, reliable architectures that support real-world products at scale.</li><li>Track record of building and growing high performing engineering teams (either as an engineer or a manager).</li><li>Prior experience working on Partnerships. </li><li>Bonus points if you have prior Fintech and/or Credit experience </li></ul><div>Target base salary for this role is between $214,800 and $366,000 per year. Additional compensation in the form of equity and/or commission is dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.</div><div>Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!</div><div><br /></div><div>Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at <span class="long-word">accommodations@plaid.com.</span></div><div><br /></div><div>Please review our Candidate Privacy Notice here.</div></div></div>

<h3>Job Description</h3><div>Job Description<div><div>Plaid is evolving into an AI-first company, and Intelligent Tooling sits at the center of that transformation. The Intelligent Tooling team is being built from the ground up, and our mission is to establish the technical foundations, operating model, and internal platforms that embed AI deeply into Plaid’s coding tools, internal systems, and the entire software development lifecycle.</div><div><br /></div><div>When we are successful, engineers across Plaid will delegate lower-leverage work to AI agents, move faster with confidence, and spend more of their time designing and inventing for customers. Intelligent Tooling owns the platforms and systems that make this possible - from AI coding integrations and SDLC agents to the internal tools that power Plaid’s operations.</div><div><br /></div><div>As the Engineering Manager for Intelligent Tooling, you will lead an engineering team responsible for some of the highest-leverage systems at Plaid. This role is central to executing Plaid’s 2026 engineering strategy to supercharge the engineering organization with AI tooling, and requires a leader who can both build the team and personally operate at the frontier of AI-powered developer workflows to drive real, organization-wide change.</div><div><br /></div><div>You will set direction, drive execution, and critically, ensure adoption of AI-powered tools that improve how hundreds of engineers build, test, debug, and operate software every day. This is not a research role: success is measured by real usage, real impact, and real improvements to developer experience.</div>Responsibilities<ul><li>Build and grow the Intelligent Tooling engineering team from the ground up, including hiring, setting early technical direction, and establishing team culture and operating norms.</li><li>Develop, integrate, and own Plaid’s AI-powered developer tooling and internal platforms, including AI coding tools, agentic workflows, and AI-native SDLC automation.</li><li>Take ownership of existing internal tooling platforms (e.g. Retool, Wadsworth, ID2), ensuring clear ownership, reliable operations, and steady improvements to developer experience.</li><li>Drive organization-wide adoption of AI tooling by embedding AI directly into core engineering workflows such as coding, testing, debugging, and incident response.</li><li>Partner closely with DevEff, Security, Privacy, Legal, and other cross-functional partners to ensure AI tooling is safe, compliant, scalable, and aligned with Plaid’s standards.</li><li>Define and execute against clear success metrics (e.g. usage, quality, reliability) to measure the real impact of Intelligent Tooling across the engineering organization.</li></ul>Qualifications<ul><li>8–10+ years of engineering experience, including time as an IC building production systems.</li><li>3+ years of experience managing and scaling engineering teams.</li><li>Demonstrated success driving adoption of new tools or workflows, ideally AI-powered, for their own team. </li><li>Hands-on experience with AI coding tools, agentic workflows, or LLM-powered developer systems.</li><li>Strong technical judgment with depth in at least one of: developer tooling / DX platforms, infrastructure or platform engineering, or applied AI systems in production.</li><li>Experience translating ambiguous strategy into execution and delivering measurable outcomes.</li><li>Excellent communication and stakeholder management skills.</li><li>[Nice to have] Proven experience leading internal platforms or developer tooling with broad adoption across an engineering organization.</li><li>[Nice to have] Prior ownership of internal platforms with reliability and SLOs, supporting a large internal engineering audience.</li><li>[Nice to have] Experience partnering with security, privacy, legal, or other governance functions on AI-related systems.</li></ul><div>The target base salary for this position ranges from $214,800/year to $366,000/year in Zone 1. The target base salary will vary based on the job's location. </div><div><br /></div><div>Our geographic zones are as follows:</div><div>Zone 1 - New York City and San Francisco Bay Area </div><div>Zone 2 - Los Angeles, Seattle, Washington D.C.</div><div>Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San Diego</div><div>Zone 4 - Raleigh-Durham and all other US cities</div><div><br /></div><div>Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.</div></div></div>

<h3>Job Description</h3><div>Job Description<div><div>We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. #LI-Remote</div><div><br /></div><div>Plaid’s Machine Learning team is building models that improve how millions of users understand and grow their financial lives. We're looking for machine learning engineers with experience applying state-of-the-art machine learning and modeling techniques -- including natural language processing, anomaly detection, optimization, and time series forecasting -- toward different product areas. We value not only technical know-how, but also creativity, user empathy, and teamwork.</div><div><br /></div><div>You’ll be a machine learning engineer as a part of the core ML payments team, contributing to diverse, high-impact machine learning challenges. Specifically, you will focus on designing, building and deploying scalable ML solutions and systems. You will lead the efforts to experiment with new modeling approaches and strategies, as well as collaborating closely with a skilled team of engineers on ingesting signals and productionizing these models. If you're interested in building the state of art AI/ML solutions to unblock financial freedom for everyone, let's chat!</div>Responsibilities<ul><li>Build with impact. Your work will empower millions of users through well-known and emerging Fintech Applications with access to financial services.</li><li>Experiment with cutting edge ML modeling techniques.</li><li>Work on both 0-1 stage problems as well as 1-10.</li><li>Develop AI/MLmodels in a full life cycle, from offline training to online serving and monitoring. </li><li>Collaborate with teams across Plaid to define ML roadmap.</li><li>Dive deep into data and apply data driven decisions in day-to-day work.</li><li>A high ownership, bottom-up driven team.</li></ul>Qualifications<ul><li>2+ years in training and serving AI/ML models in a production environment.</li><li>Experience in building/working with data intensive backend applications in large distributed systems.</li><li>Ability to code and iterate independently on top of data infrastructure tools like Python, Spark, Jupyter notebooks, standard ML libraries, etc.</li><li>Take pride in taking ownership and driving projects to business impact.</li><li>Data analytics and data engineering experience is a plus.</li><li>Experience with the industry application of NLP is a plus. </li><li>Experience with the FinTech industry is a plus. </li><li>Ability to work with technical and non-technical teams</li><li>Master's degree or equivalent work experience in Computer Science, Mathematics, Engineering, or a closely related field.</li></ul><div>The target base salary for this position ranges from $202,800/year to $279,600/year in Zone 1. The target base salary will vary based on the job's location. </div><div><br /></div><div>Our geographic zones are as follows:</div><div>Zone 1 - New York City and San Francisco Bay Area</div><div>Zone 2 - Los Angeles, Seattle, Washington D.C.</div><div>Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San Diego</div><div>Zone 4 - Raleigh-Durham and all other US cities</div><div><br /></div><div>Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.</div><div>Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at <span class="long-word">accommodations@plaid.com.</span> Please review our Candidate Privacy Notice here.</div><div><br /></div><div>Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!</div><div><br /></div><div>Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at <span class="long-word">accommodations@plaid.com.</span></div><div><br /></div><div>Please review our Candidate Privacy Notice here.</div></div></div>

<div><h2>Plaid Engineer</h2><p>We believe that the way people interact with their finances will drastically improve in the next few years. We're dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid's network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.</p><p>Plaid's authoritative source of truth for the user lifecycle: powering recognition, authentication, and the data models behind Plaid's newest ML-based insights products, etc. We build the APIs, systems and data models that let Plaid products deliver user-level intelligence at scale.</p><p>At the center of our work is the living graph that represents people's entire financial lives; the largest dataset at Plaid! This links all of Plaid's users, identities, accounts, and transactions. We operate it reliably at global scale for some of the world's largest companies, including Google, Meta, Shopify, Square, Robinhood, and Venmo.</p><p>The team owns three core pillars:</p><ul><li>The User Graph: Defines Plaid's global user and maintains the graph linking identities, accounts, and transactions, exposed via internal APIs for product development and ML inference.</li><li>The User API: Plaid's newest API surface, enabling easy multi-product integration and powering fraud prevention, credit decisioning and pre-qualification capabilities, and other data partner insights.</li><li>The User Decisioning Layer, which powers returning user recognition and authentication across Link and API-only experiences.</li></ul><p>We tackle hard problems in identity, graph integrity, and trust so product, ML, and data teams can build reliable fraud, credit, and financial management experiences at U.S. financial network scale. We are a high-performing group of engineers based in San Francisco and New York, collaborating in-office.</p><h3>Responsibilities</h3><ul><li>You will lead a team of 6 engineers, ranging from mid-level to Staff, developing them through clear goal setting, coaching, and feedback.</li><li>You'll define and drive the long-term strategy for this foundational area, in close partnership with technical and product leaders across Plaid.</li><li>You'll collaborate with cross-functional partners to identify high-leverage opportunities, shape the roadmap, and dive deep into technical design and execution details to ensure consistent delivery of high-impact business outcomes.</li><li>You'll uphold a high bar for technical quality and delivery velocity, leading by example.</li></ul><h3>Qualifications</h3><ul><li>8+ years of industry experience, that includes time as a Staff-level engineer before transitioning into management.</li><li>1+ years of engineering management experience</li><li>Deep experience designing scalable, reliable architectures that support real-world products at scale.</li><li>Track record of building and growing high performing engineering teams (either as an engineer or a manager).</li></ul><p>$214,800 - $366,000 a year</p><p>The target base salary this position ranges from $214,800 and $366,000 per year in San Francisco and New York. The base salary range listed for this full-time position excludes equity and benefits. The pay range shown on each job posting is the minimum and maximum target for new-hire salaries. Actual pay may be higher or lower depending on factors like skills, experience, and relevant education or training.</p><p>Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!</p><p>Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know.</p></div>

<h3>Job Description</h3><div>Job Description<div><div>We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.</div><div><br /></div><div>Plaid’s authoritative source of truth for the user lifecycle: powering recognition, authentication, and the data models behind Plaid’s newest ML-based insights products (LendScore, Protect, etc.). We build the APIs, systems and data models that let Plaid products deliver user-level intelligence at scale.  </div><div><br /></div><div>At the center of our work is the living graph that represents people’s entire financial lives; the largest dataset at Plaid! This links all of Plaid’s users, identities, accounts, and transactions. We operate it reliably at global scale for some of the world’s largest companies, including Google, Meta, Shopify, Square, Robinhood, and Venmo. </div><div><br /></div><div>The team owns 3 core pillars: </div><div>- The User Graph: Defines Plaid’s global user and maintains the graph linking identities, accounts, and transactions, exposed via internal APIs for product development and ML inference. </div><div>- The User API: Plaid’s newest API surface, enabling easy multi-product integration and powering fraud prevention, credit decisioning and pre-qualification capabilities, and other data partner insights. </div><div>- The User Decisioning Layer, which powers returning user recognition and authentication across Link and API-only experiences.</div><div><br /></div><div>We tackle hard problems in identity, graph integrity, and trust so product, ML, and data teams can build reliable fraud, credit, and financial management experiences at U.S. financial network scale.We are a high‑performing group of engineers based in San Francisco and New York, collaborating in‑office.</div>Responsibilities<ul><li>You will lead a team of 6 engineers, ranging from mid-level to Staff, developing them through clear goal setting, coaching, and feedback.</li><li>You’ll define and drive the long-term strategy for this foundational area, in close partnership with technical and product leaders across Plaid.</li><li>You’ll collaborate with cross-functional partners to identify high-leverage opportunities, shape the roadmap, and dive deep into technical design and execution details to ensure consistent delivery of high-impact business outcomes.</li><li>You’ll uphold a high bar for technical quality and delivery velocity, leading by example.</li></ul>Qualifications<ul><li>8+ years of industry experience, that includes time as a Staff-level engineer before transitioning into management.</li><li>1+ years of engineering management experience </li><li>Deep experience designing scalable, reliable architectures that support real-world products at scale.</li><li>Track record of building and growing high performing engineering teams (either as an engineer or a manager).</li></ul><div>The target base salary this position ranges from $214,800 and $366,000 per year in San Francisco and New York. </div><div><br /></div><div>The base salary range listed for this full-time position excludes equity and benefits. The pay range shown on each job posting is the minimum and maximum target for new-hire salaries. Actual pay may be higher or lower depending on factors like skills, experience, and relevant education or training.</div><div>Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!</div><div><br /></div><div>Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at <span class="long-word">accommodations@plaid.com.</span></div><div><br /></div><div>Please review our Candidate Privacy Notice here.</div></div></div>

<h3>Job Description</h3><div>Job Description<div><div>We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.</div><div><br /></div><div>Plaid’s Data team is building data insights and models that improve how millions of users understand and grow their financial lives. We're looking for data scientists with experience applying state-of-the-art data analytics techniques to different product areas. We value not only technical know-how, but also creativity, user empathy, and teamwork.</div><div><br /></div><div>You’ll be a data scientist as a part of the Data organization, contributing to diverse, high-impact data insights and machine learning challenges. Specifically, you will focus on driving business impact, and production directions through data analysis and potentially help evaluate and improve ML solutions and systems. If you're interested in building state-of-the-art Data/ML solutions to unblock financial freedom for everyone, let's chat!</div>Responsibilities<ul><li>Applying your expertise in quantitative analysis, data mining, and data visualization to find insights for improving our API products</li><li>Conducting large-scale A/B experiments</li><li>Identifying useful signals that can be fed into machine learning models. </li><li>Informing and influencing product and engineering teams through your data analysis and presentations</li><li>Making long-term data science roadmap decisions like how machine learning and data science iteration should be done at Plaid </li><li>Championing a data-first approach toward decision-making across the entire organization.</li></ul>Qualifications<ul><li>5+ years of industry experience in a product-focused Data Science role</li><li>Deep familiarity with SQL and data visualization tools</li><li>Experiencing conducting large-scale A/B experiments, analyzing results, and translating them into concrete recommendations</li><li>Familiarity with the AWS stack</li><li>Understanding of modern machine learning (ML) techniques, such as classification, clustering, optimization, deep neural network, and natural language processing</li><li>Proven ability to tailor your solutions to business problems in a cross-functional team</li><li>Ability to code and iterate independently in Python to conduct exploratory data analysis</li><li>Experience building data pipelines in DBT or Airflow is a plus</li><li>Bachelor's degree or equivalent work experience in Computer Science, Statistics, Engineering, Economics, or a closely related field</li></ul><div>The target base salary for this position ranges from $174,000/year to $260,400/year in Zone 1. The target base salary will vary based on the job's location. </div><div><br /></div><div>Our geographic zones are as follows:</div><div>Zone 1 - New York City and San Francisco Bay Area</div><div>Zone 2 - Los Angeles, Seattle, Washington D.C.</div><div>Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San Diego</div><div>Zone 4 - Raleigh-Durham and all other US cities</div><div><br /></div><div>Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.</div><div>Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!</div><div><br /></div><div>Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at <span class="long-word">accommodations@plaid.com.</span></div><div><br /></div><div>Please review our Candidate Privacy Notice here.</div></div></div>

Plaid Job Openings

Prepare for and practice Plaid interview questions.

Question	Topic	Difficulty	Ask Chance
Boarding Times Bias	Statistics	Medium	Very High
Decreasing Comments	Product Sense & Metrics	Easy	Very High
Experiment Validity	A/B Testing	Medium	Very High